Abstract
MASK-air®, a validated mHealth app (Medical Device regulation Class IIa) has enabled large observational implementation studies in over 58,000 people with allergic rhinitis and/or asthma. It can help to address unmet patient needs in rhinitis and asthma care. MASK-air® is a Good Practice of DG Santé on digitally-enabled, patient-centred care. It is also a candidate Good Practice of OECD (Organisation for Economic Co-operation and Development). MASK-air® data has enabled novel phenotype discovery and characterisation, as well as novel insights into the management of allergic rhinitis. MASK-air® data show that most rhinitis patients (i) are not adherent and do not follow guidelines, (ii) use as-needed treatment, (iii) do not take medication when they are well, (iv) increase their treatment based on symptoms and (v) do not use the recommended treatment. The data also show that control (symptoms, work productivity, educational performance) is not always improved by medications. A combined symptom-medication score (ARIA-EAACI-CSMS) has been validated for clinical practice and trials. The implications of the novel MASK-air® results should lead to change management in rhinitis and asthma.
| Original language | English |
|---|---|
| Article number | e12215 |
| Number of pages | 30 |
| Journal | Clinical and Translational Allergy |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2023 |
Keywords
- asthma
- digital
- MASK-air
- mHealth
- rhinitis
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In: Clinical and Translational Allergy, Vol. 13, No. 1, e12215, 01.2023.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Digitally-enabled, patient-centred care in rhinitis and asthma multimorbidity
T2 - The ARIA-MASK-air® approach
AU - Bousquet, Jean
AU - Anto, Josep M.
AU - Sousa-Pinto, Bernardo
AU - Czarlewski, Wienczyslawa
AU - Bedbrook, Anna
AU - Haahtela, Tari
AU - Klimek, Ludger
AU - Pfaar, Oliver
AU - Kuna, Piotr
AU - Kupczyk, Maciej
AU - Regateiro, Frederico S.
AU - Samolinski, Boleslaw
AU - Valiulis, Arunas
AU - Yorgancioglu, Arzu
AU - Arnavielhe, Sylvie
AU - Basagaña, Xavier
AU - Bergmann, Karl C.
AU - Bosnic-Anticevich, Sinthia
AU - Brussino, Luisa
AU - Canonica, G. Walter
AU - Cardona, Victoria
AU - Cecchi, Lorenzo
AU - Chaves-Loureiro, Claudia
AU - Costa, Elisio
AU - Cruz, Alvaro A.
AU - Gemicioglu, Bilun
AU - Fokkens, Wytske J.
AU - Ivancevich, Juan Carlos
AU - Kraxner, Helga
AU - Kvedariene, Violeta
AU - Larenas-Linnemann, Désirée E.
AU - Laune, Daniel
AU - Louis, Renaud
AU - Makris, Michael
AU - Maurer, Marcus
AU - Melén, Erik
AU - Micheli, Yann
AU - Morais-Almeida, Mario
AU - Mullol, Joaquim
AU - Niedoszytko, Marek
AU - Okamoto, Yoshitaka
AU - Papadopoulos, Nikolaos G.
AU - Patella, Vincenzo
AU - Pham-Thi, Nhân
AU - Rouadi, Philip W.
AU - Sastre, Joaquin
AU - Scichilone, Nicola
AU - Sheikh, Aziz
AU - Sofiev, Mikhail
AU - Taborda-Barata, Luis
AU - Toppila-Salmi, Sanna
AU - Tsiligianni, Ioanna
AU - Valovirta, Erkka
AU - Ventura, Maria Teresa
AU - Vieira, Rafael José
AU - Zidarn, Mihaela
AU - Amaral, Rita
AU - Ansotegui, Ignacio J.
AU - Bédard, Annabelle
AU - Benveniste, Samuel
AU - Bewick, Michael
AU - Bindslev-Jensen, Carsten
AU - Blain, Hubert
AU - Bonini, Matteo
AU - Bourret, Rodolphe
AU - Braido, Fulvio
AU - Carreiro-Martins, Pedro
AU - Charpin, Denis
AU - Cherrez-Ojeda, Ivan
AU - Chivato, Tomas
AU - Chu, Derek K.
AU - Cingi, Cemal
AU - Del Giacco, Stefano
AU - de Blay, Frédéric
AU - Devillier, Philippe
AU - De Vries, Govert
AU - Doulaptsi, Maria
AU - Doyen, Virginie
AU - Dray, Gérard
AU - Fontaine, Jean François
AU - Gomez, R. Maximiliano
AU - Hagemann, Jan
AU - Heffler, Enrico
AU - Hofmann, Maja
AU - Jassem, Ewa
AU - Jutel, Marek
AU - Keil, Thomas
AU - Kritikos, Vicky
AU - Kull, Inger
AU - Kulus, Marek
AU - Lourenço, Olga
AU - Mathieu-Dupas, Eve
AU - Menditto, Enrica
AU - Mösges, Ralph
AU - Murray, Ruth
AU - Nadif, Rachel
AU - Neffen, Hugo
AU - Nicola, Stefania
AU - O’Hehir, Robyn
AU - Olze, Heidi
AU - Palamarchuk, Yuliia
AU - Pépin, Jean Louis
AU - Pétré, Benoit
AU - Picard, Robert
AU - Pitsios, Constantinos
AU - Puggioni, Francesca
AU - Quirce, Santiago
AU - Raciborski, Filip
AU - Reitsma, Sietze
AU - Roche, Nicolas
AU - Rodriguez-Gonzalez, Monica
AU - Romantowski, Jan
AU - Sá-Sousa, Ana
AU - Serpa, Faradiba S.
AU - Savouré, Marine
AU - Shamji, Mohamed H.
AU - Sova, Milan
AU - Sperl, Annette
AU - Stellato, Cristiana
AU - Todo-Bom, Ana
AU - Tomazic, Peter Valentin
AU - Vandenplas, Olivier
AU - Van Eerd, Michiel
AU - Vasankari, Tuula
AU - Viart, Frédéric
AU - Waserman, Susan
AU - Fonseca, Joao A.
AU - Zuberbier, Torsten
N1 - Funding Information: The authors thank Ms Véronique Pretschner for submitting the paper. MASK‐air has been supported by Charité Universitätsmedizin Berlin, EU grants (EU Structural and Development Funds Languedoc Roussillon and Region PACA; POLLAR: EIT Health; Twinning: EIP on AHA; Twinning DHE: H2020; Catalyse: Horizon Europe) and educational grants from Mylan‐Viatris, ALK, GSK, Novartis, Stallergènes‐Greer and Uriach. None for the study. ® Publisher Copyright: © 2023 The Authors. Clinical and Translational Allergy published by John Wiley & Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.
PY - 2023/1
Y1 - 2023/1
N2 - MASK-air®, a validated mHealth app (Medical Device regulation Class IIa) has enabled large observational implementation studies in over 58,000 people with allergic rhinitis and/or asthma. It can help to address unmet patient needs in rhinitis and asthma care. MASK-air® is a Good Practice of DG Santé on digitally-enabled, patient-centred care. It is also a candidate Good Practice of OECD (Organisation for Economic Co-operation and Development). MASK-air® data has enabled novel phenotype discovery and characterisation, as well as novel insights into the management of allergic rhinitis. MASK-air® data show that most rhinitis patients (i) are not adherent and do not follow guidelines, (ii) use as-needed treatment, (iii) do not take medication when they are well, (iv) increase their treatment based on symptoms and (v) do not use the recommended treatment. The data also show that control (symptoms, work productivity, educational performance) is not always improved by medications. A combined symptom-medication score (ARIA-EAACI-CSMS) has been validated for clinical practice and trials. The implications of the novel MASK-air® results should lead to change management in rhinitis and asthma.
AB - MASK-air®, a validated mHealth app (Medical Device regulation Class IIa) has enabled large observational implementation studies in over 58,000 people with allergic rhinitis and/or asthma. It can help to address unmet patient needs in rhinitis and asthma care. MASK-air® is a Good Practice of DG Santé on digitally-enabled, patient-centred care. It is also a candidate Good Practice of OECD (Organisation for Economic Co-operation and Development). MASK-air® data has enabled novel phenotype discovery and characterisation, as well as novel insights into the management of allergic rhinitis. MASK-air® data show that most rhinitis patients (i) are not adherent and do not follow guidelines, (ii) use as-needed treatment, (iii) do not take medication when they are well, (iv) increase their treatment based on symptoms and (v) do not use the recommended treatment. The data also show that control (symptoms, work productivity, educational performance) is not always improved by medications. A combined symptom-medication score (ARIA-EAACI-CSMS) has been validated for clinical practice and trials. The implications of the novel MASK-air® results should lead to change management in rhinitis and asthma.
KW - asthma
KW - digital
KW - MASK-air
KW - mHealth
KW - rhinitis
UR - http://www.scopus.com/inward/record.url?scp=85147105865&partnerID=8YFLogxK
U2 - 10.1002/clt2.12215
DO - 10.1002/clt2.12215
M3 - Article
C2 - 36705508
AN - SCOPUS:85147105865
SN - 2045-7022
VL - 13
JO - Clinical and Translational Allergy
JF - Clinical and Translational Allergy
IS - 1
M1 - e12215
ER -